Instructions to use MyneFactory/MF-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MyneFactory/MF-Base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MyneFactory/MF-Base", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 87cea8194053fdf340d5d5d813b23d8a45eb9f4cceddfd1bddde4d550e00b424
- Size of remote file:
- 3.44 GB
- SHA256:
- c2c820f9b296154e60d6581c0bbd62cf95845f0ab2004e36e9ef3faf39a55ae3
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